Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 122-124.doi: 10.11896/j.issn.1002-137X.2016.6A.029

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Image Fusion Algorithm Using LP Transformation and PCNN-SML

WANG Quan, NIE Ren-can, JIN Xin, ZHOU Dong-ming, HE Kang-jian and YU Jie-fu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Using Laplace pyramid algorithm (LP) and pulse coupled neural network (PCNN),this paper proposed an effective fusion algorithm of the multi-focus image.First,the paper used Laplace pyramid to do multi-scale decomposition of the image,and the decomposition images were processed by PCNN,thus the corresponding neuron ignition frequency map was obtained.Then the paper calculated local entropy for every pixel’s ignition frequency map,and took local sum of modified Laplacian(SML) as a measure of the quality of the pixels for the source image fusion.Finally,the paper used the Laplace pyramid reconstruction algorithm to generate the fused image.Experimental results indicate that proposed method is effective and better than other traditional fusion algorithms.

Key words: Multi-focus image fusion,Laplace pyramid transform,Pulse coupled neural network,Local sum of modified laplacian

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